PN 5

SimTech EXC 2075 Project Network 5 "On-the-fly model modification, error control, and simulation adaptivity"

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741 to 750 of 1,582 Results

gp.stan Jul 1, 2023 - Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization" Unknown - 7.4 KB - MD5: f1c4455d655e61550e2e829b555cb63d
IE.csv Jul 1, 2023 - Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization" Tabular Data - 26.6 KB - 7 Variables, 225 Observations - UNF:6:F3ZKXjb34OXlR7Byp7eTWg==
kernel_g.stan Jul 1, 2023 - Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization" Unknown - 4.1 KB - MD5: dc1e9df84c93378d930dacf8f495e4b6
README.md Jul 1, 2023 - Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization" Markdown Text - 5.1 KB - MD5: 6902da563f92dfd3ddde9f069762d8bf Documentation
scaled.csv Jul 1, 2023 - Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization" Tabular Data - 21.5 KB - 6 Variables, 225 Observations - UNF:6:FfvXSS6Z9+31H9ZsrSlgSw==
settings_multiple_fibers.py Jul 1, 2023 - Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization" Python Source Code - 31.6 KB - MD5: 0f07098daf87104533ec316a0df968e1
Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE Jul 1, 2023 - Usability and Sustainability of Simulation Software Schrader, Timo Pierre; Schneider, David; Uekermann, Benjamin, 2023, "Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE", https://doi.org/10.18419/DARUS-3574, DaRUS, V1 This dataset contains setup and result files for the performance measurements presented in Schneider et al. "Data-Parallel Radial-Basis Function Interpolation in preCICE". Furthermore, it contains the used snapshot of preCICE, ASTE, and Gingko. See the README for information on how to build and run the cases.
preCICE-Code.tar.xz Jul 1, 2023 - Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE XZ Archive - 1.4 MB - MD5: b85dfce9cf65f71b688cd3eac4b0f11b
meshes.7z Jul 1, 2023 - Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE 7Z Archive - 277.8 MB - MD5: f0de937ed1d7067e46afcda9e6c4b571 The turbine meshes (provided by ASTE; https://gitlab.lrz.de/precice/precice2-ref-paper-setup) used for data mapping testing.
ginkgo-Code.tar.gz Jul 1, 2023 - Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE Gzip Archive - 2.9 MB - MD5: 5797e0f5d1b71715c2e1a6610efe4cac Code taken from https://github.com/ginkgo-project/ginkgo using commit "a195f856e"

gp.stan

Jul 1, 2023 - Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"

Unknown - 7.4 KB -

IE.csv

Jul 1, 2023 - Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"

Tabular Data - 26.6 KB - 7 Variables, 225 Observations -

kernel_g.stan

Jul 1, 2023 - Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"

Unknown - 4.1 KB -

README.md

Jul 1, 2023 - Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"

Markdown Text - 5.1 KB -

Documentation

scaled.csv

Jul 1, 2023 - Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"

Tabular Data - 21.5 KB - 6 Variables, 225 Observations -

settings_multiple_fibers.py

Jul 1, 2023 - Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"

Python Source Code - 31.6 KB -

Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE

Jul 1, 2023 - Usability and Sustainability of Simulation Software

Schrader, Timo Pierre; Schneider, David; Uekermann, Benjamin, 2023, "Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE", https://doi.org/10.18419/DARUS-3574, DaRUS, V1

This dataset contains setup and result files for the performance measurements presented in Schneider et al. "Data-Parallel Radial-Basis Function Interpolation in preCICE". Furthermore, it contains the used snapshot of preCICE, ASTE, and Gingko. See the README for information on how to build and run the cases.

preCICE-Code.tar.xz

Jul 1, 2023 - Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE

XZ Archive - 1.4 MB -

meshes.7z

Jul 1, 2023 - Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE

7Z Archive - 277.8 MB -

The turbine meshes (provided by ASTE; https://gitlab.lrz.de/precice/precice2-ref-paper-setup) used for data mapping testing.

ginkgo-Code.tar.gz

Jul 1, 2023 - Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE

Gzip Archive - 2.9 MB -

Code taken from https://github.com/ginkgo-project/ginkgo using commit "a195f856e"

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